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The demand for people tracking in dense crowds is increasing, but it is a challenging problem in the computer vision field. "Crowd tracking" is extremely difficult because of hard occlusions, various motions and posture changes. In particular, we need to handle occlusions for more robust tracking. This paper discusses robust crowd tracking based on a combination of supervoxels and optical...
Particle filter (PF) has proven successfully for nonlinear and non-Gaussian estimate problems, but its degeneracy will influence the results of tracking. Therefore in the paper, the optical flow algorithm is utilized to generate the proposal distribution of particle filter. With the velocity message which is estimated by optical flow algorithm, the particles could be generated in a right direction...
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